Novel 59-layer dense inception network for robust deepfake identification.
- DOI
- 10.1038/s41598-025-03889-6
- Published
- 2025 Jul 7
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-03889-6,
title = {Novel 59-layer dense inception network for robust deepfake identification.},
author = {Alharbi A and Alosaimi W and Nadeem M and Alyami H and Alouffi B and Almulihi A and Farooqui NA and Ahmed R and Khan RA},
year = {2025},
journal = {Scientific reports},
doi = {10.1038/s41598-025-03889-6},
url = {https://doi.org/10.1038/s41598-025-03889-6}
}RIS
TY - JOUR TI - Novel 59-layer dense inception network for robust deepfake identification. AU - Alharbi A AU - Alosaimi W AU - Nadeem M AU - Alyami H AU - Alouffi B AU - Almulihi A AU - Farooqui NA AU - Ahmed R AU - Khan RA PY - 2025 JO - Scientific reports DO - 10.1038/s41598-025-03889-6 UR - https://doi.org/10.1038/s41598-025-03889-6 ER -
APA
A, A., W, A., M, N., H, A., B, A., A, A., NA, F., R, A., & RA, K. (2025). Novel 59-layer dense inception network for robust deepfake identification.. Scientific reports. https://doi.org/10.1038/s41598-025-03889-6
Source records
- pubmed · retrieved 2026-09-27T10:30:16.634Z